Foresee Markets

Foresee Markets
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Foresee Markets is a podcast about how structured thinking, quantitative research, and artificial intelligence intersect with real-world investing. Hosted by applied economics practitioner Alejandro Ramirez Lemus and mathematician and AI researcher Serhii Nikolaiev, the show explores how capital moves through modern financial systems and how investors can make decisions under uncertainty. Each episode examines the mechanics behind markets: liquidity, asset classes, portfolio construction, risk management, and the role of data in financial decision-making. Through conversations that combine economic reasoning, mathematical structure, and practical market experience, the podcast breaks down how models behave outside of theory — in live market conditions where volatility, inflation, and imperfect information shape outcomes. Rather than offering predictions, trading tips, or short-term speculation, Foresee Markets focuses on understanding the frameworks that drive long-term investment thinking. The goal is to help listeners see markets more clearly — and approach capital allocation with discipline, structure, and perspective.

  1. Episode 1

    What Is an AI Token? The Hidden Economics of ChatGPT, Claude & Compute

    What is an AI token, and why does it quietly shape the entire economics of AI? Every time you ask ChatGPT or Claude a question, a token gets consumed — and understanding that one unit explains where the AI economy is heading. In the Season 2 premiere, Alejandro Ramirez Lemus and Serhii Nikolaiev break down the economics of AI from the ground up. They start with the token — the smallest unit of AI work, roughly on the scale of a word — and use it to explain how AI companies price their services, why electricity and GPU compute are the real constraints, and what supply and demand look like when the scarce resource is computing power. From there, tokenomics becomes a lens for bigger questions: how OpenAI, Claude, and Cursor differ in practice, why CapEx vs. revenue is the real test when you evaluate an AI company, and how these tools change the way you judge whether a business is over- or undervalued. Along the way, a live capacity limit on screen turns into an unplanned lesson in AI supply and demand — and the hosts get into why players like SpaceX are pouring capital into compute, energy, and AI infrastructure. If you care about macroeconomics, AI in finance, or structured thinking for markets, this is the foundation the rest of the season builds on. 🔍 In this episode: what an AI token is, how tokenomics works, AI infrastructure economics, CapEx vs. revenue, OpenAI vs. Claude vs. Cursor, SpaceX's push into AI compute, and how to evaluate companies in the AI era. ⚠️ This episode is educational commentary, not investment advice. Nothing here is a recommendation to buy or sell any security. Past performance does not guarantee future results. ⏱ Timestamps: 0:06 – Welcome to Season 2 1:51 – What is a token? Economics vs. AI perspective 2:16 – Token as a factory package — the analogy 4:36 – How tokenomics works: putting a price on a token 7:04 – OpenAI, Claude, Cursor — how each gets used 12:09 – Using AI to evaluate whether a company is undervalued 13:06 – Supply and demand of AI compute 13:49 – When Claude hit a capacity limit live on screen 14:41 – ChatGPT builds a token explainer in one prompt 18:05 – CapEx vs. revenue: when does AI become profitable? 19:10 – How to evaluate AI companies as an investor 22:52 – SpaceX, compute, and the race for AI infrastructure ―――――――――――――――――――― Foresee Markets — AI, quantitative research, and structured thinking applied to real market conditions. 🎙️ Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev. 💬 Tell us in the comments: which AI tool do you use most, and what for? 👍 Like, subscribe, and hit the bell so you never miss an episode of Foresee Markets. ―――――――――――――――――――― 📹 During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on https://youtu.be/bx1FZnHRu_I

  2. Episode 2

    Anthropic IPO vs OpenAI IPO: Why One Goes Public Now and the Other Waits

    Anthropic IPO or OpenAI IPO: which AI company goes public first, and what does the timing say about the economics behind each decision? Anthropic is reported to be preparing a Nasdaq listing, while OpenAI has pushed its IPO plans back. In this episode of that podcast, Alejandro Ramirez Lemus and Serhii Nikolaiev break down how IPOs work in practice. As Alejandro explains, early trading after a listing is driven largely by attention and limited supply, while fundamentals decide over time whether the valuation holds. The SpaceX IPO provides a recent case study: the stock surged after listing before pulling back, while the company later announced an all-stock deal to acquire Cursor. The hosts look at AI company valuations from the cost side. Training large models and hiring top AI talent takes enormous capital, and every earlier funding round has to be justified once a company is public. Serhii points to the split in how the two companies are used, with Anthropic strong among enterprise and developer customers and OpenAI more focused on chat and agents. Alejandro discusses one possible reason for OpenAI's wait: allowing another major AI company to test public-market demand first could give OpenAI more information about investor appetite and valuation. The episode also looks at the macro layer: how Federal Reserve interest rates affect the cost of capital for AI companies, and why the first earnings reports after an IPO can provide an early test of whether the public-market valuation is supported by the company's financial performance. Articles referenced in the episode: → Financial Times — OpenAI in early talks with investors on private round at $1.2T valuation before IPO: https://www.ft.com/content/openai-12-trillion-funding-round → Business Insider / Reuters — Anthropic selects Nasdaq for its IPO: Anthropic selects Nasdaq for IPO, Business Insider reports 🔍 In this episode: Anthropic IPO on Nasdaq, OpenAI IPO delay, SpaceX IPO lessons, AI company valuations, CapEx vs. revenue in AI, Federal Reserve rates and AI stocks, how to evaluate an AI company before its first earnings report. ⚠️ This episode is educational commentary, not investment advice. Nothing here is a recommendation to buy or sell any security. Past performance does not guarantee future results. ⏱ Timestamps 0:00 Intro 0:15 Anthropic heads toward a Nasdaq IPO while OpenAI waits 0:25 SpaceX IPO: the post-listing spike and pullback 1:09 Why some AI companies IPO and others wait 1:49 How IPO demand is built: underwriters, retail buyers and FOMO 4:37 Why a valuation has to be justified after listing 6:52 AI company economics: training costs, talent and market split 9:54 Why companies go public, and when they don't need to 11:07 Why OpenAI may be choosing to wait 15:55 What Anthropic could do with IPO capital 16:20 Federal Reserve rates and the cost of capital for AI companies 18:30 Articles referenced: Financial Times and Business Insider 20:38 Wrap-up ―――――――――――――――――――― Foresee Markets: AI, quantitative research, and structured thinking applied to real market conditions. 🎙️ Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev. 💬 What would you watch most closely after an AI IPO: the first earnings reports or how the company deploys its new capital? Share your view in the comments. 👍 Like and subscribe for new episodes of Foresee Markets. 📹 During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on https://youtu.be/ZofUk43pr-s

  • 2 Episodes

About

Foresee Markets is a podcast about how structured thinking, quantitative research, and artificial intelligence intersect with real-world investing. Hosted by applied economics practitioner Alejandro Ramirez Lemus and mathematician and AI researcher Serhii Nikolaiev, the show explores how capital moves through modern financial systems and how investors can make decisions under uncertainty. Each episode examines the mechanics behind markets: liquidity, asset classes, portfolio construction, risk management, and the role of data in financial decision-making. Through conversations that combine economic reasoning, mathematical structure, and practical market experience, the podcast breaks down how models behave outside of theory — in live market conditions where volatility, inflation, and imperfect information shape outcomes. Rather than offering predictions, trading tips, or short-term speculation, Foresee Markets focuses on understanding the frameworks that drive long-term investment thinking. The goal is to help listeners see markets more clearly — and approach capital allocation with discipline, structure, and perspective.

Information

  • Creator
    Foresee Markets
  • Episodes
    25
  • Seasons
    2
  • Rating
    Clean
  • Copyright
    © 2026 Foresee Markets